Tag: auditory large language models
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Reducing Unsolvability in Multi-LLM Routing: Key Insights
Explore how evaluation artifacts impact multi-LLM routing and learn methods to improve accuracy and cost-efficiency in AI model selection.
DCGL: Dual-Channel Graph Learning for Smarter Recommendations
Discover DCGL, a dual-channel graph learning framework using large language models to boost knowledge-aware recommendation accuracy and user engagement.
MedAction: Advancing Multi-turn Clinical Diagnostic LLMs
MedAction enhances clinical diagnosis with multi-turn LLMs, improving test ordering and diagnostic updates for better patient outcomes.
Preventing Performance Collapse in Layer-Pruned Large Language Models
Explore how decision representation transitions cause performance collapse in layer-pruned large language models and learn strategies to optimize pruning.
Effective Hallucination Detection Using Proxy Analyzers
Discover how proxy-analyzer activations improve hallucination detection in large language models, boosting accuracy across multiple architectures.